Quickstart¶
In the following steps we will show a short guide about how to run syndi on your dataset
1. Generate Tasks¶
We generate a list of Task objects that allow us to record results for different Sampling Methods and Regression/Classification models.
To do so, we need to import the train_df and test_df dataframes.
In [1]: print(10*10)
100
import syndi
The output will be a table that contains two columns timestamp and value.
2. Benchmark Tasks¶
Once we have the tasks, we can run them through the benchmarking pipeline to get results.
In [2]: print(3*3)
9
The output will be a pandas.Dataframe containing a collection of task metrics.